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Stackifier: Make Sense of Your Stack Trace

  How to make sense of your stack trace and solve errors faster Developer experience, as in User Experience where the user is a developer, is often neglected. Many of the workflows and experiences...

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Takipi 2.0: Trends and DevOps Integrations

Visualize all log events and excpetions in production directly from your JVMs – Send as metrics into more than 20 graphing and alerting tools. We wanted to share two major features we’re introducing...

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What Our $15M Series B Funding Really Means for Takipi

Today we announced our $15M series B funding which was lead by Arif Janmohamed at LightSpeed Venture Partners, and also participated in by our series A investor Venky Ganesan from Menlo Ventures. Two...

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Where Does Takipi Fit Into My Ecosystem of Tools?

There are three common ways to monitor your application: Application Performance Monitoring (APM) Log analyzers Error tracking tools Most companies will use several tools to get the full picture of...

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Introducing Takipi’s New Alerting Engine: Get Alerted on Critical Errors When...

New Takipi feature: Critical error alerts via email, Slack, HipChat, and PagerDuty We’re pretty excited this week, as we just launched the new alerts engine we’ve been working on in the last couple of...

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The Top 10 Exception Types in Production Java Applications – Based on 1B Events

The Pareto logging principle: 97% of logged error statements are caused by 3% of unique errors cWe received a lot of feedback and questions following the latest data crunching post where we showed...

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Introducing Takipi’s Log View: Source, Stack, State and the Logs that Really...

Meet MDC and Log View and how they add context to solving errors in production Takipi is used to troubleshoot production errors and pinpoint their root cause down to the variable values that caused...

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Introducing Takipi’s Dashboard Views: See the Log Events That Matter

New Takipi feature: Public and private views Yogi Berra once said – “You can observe a lot by watching”, and what’s true for Major League Baseball is more than certainly true for DevOps nowadays. Our...

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The OverOps Story: It’s the End of Log Files as We Know It

One click and one second to root cause analysis. See how it all started. OverOps was built to help developers know when, where and why code breaks in production. After an amazing journey with 300%...

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Introducing OverOps Timers: See the Real Root Cause Behind Latency Issues

New OverOps Feature – Add Timers to see root cause information when a method’s execution time exceeds a target threshold They say timing is everything, and even if everything in an application’s logic...

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